text: #
  #  Copyright 2019 The FATE Authors. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  #  See the License for the specific language governing permissions and
  #  limitations under the License.
  #
  from pyspark import SparkContext
  sc = SparkContext('local', 'test')
  a = []
  for i in range(10):
      a.append((i, str(i)))
  rdd1 = sc.parallelize(a)
  rdd2 = rdd1.mapValues(f=lambda x: x + "1")
  
  for k, v in rdd2.collect():
      print(f"{type(k)}: {k} {type(v)} {v}")